AI Native Tech / Delivery Lead (h/f)

🏢 Summary: Remote B2B contract for a Platform/DevOps Engineer to design and develop a modern data platform in Microsoft Azure for a UK client. The role focuses on building and evolving an end-to-end data platform based on Azure Databricks and Microsoft Fabric, supporting advanced analytics and AI/GenAI use cases. The project emphasizes scalability, security, CI/CD, and Infrastructure as Code in a data-driven environment. 🗂️ Requirements: Several years of experience as Platform Engineer or DevOps Engineer, Strong knowledge of Microsoft Azure, Experience building data platforms and analytical environments, Strong knowledge of Azure Databricks, Experience with Terraform and Infrastructure as Code, Experience with CI/CD pipelines and automation, Knowledge of Data Engineering concepts, Experience integrating data from multiple sources (S3, SharePoint, Google Drive, Dataverse) 📃 Skills: Azure, Databricks, Terraform, CI/CD, Fabric, ETL, ELT, DataLakes, DataWarehouses, IaC, Cloud, Networking, Security, S3, SharePoint, Dataverse 🏢 Description: Hej hej! Nowy projekt na horyzoncie! 🌇 Szukasz kolejnego wyzwania w swojej karierze? Super! Być może właśnie na Ciebie czekamy! 📍 100% Remote | 🇬🇧 Klient z UK 💰 190 PLN/h netto + VAT (B2B) 🚀 Start: ASAP 📅 Projekt do końca sierpnia 2026 z możliwością przedłużenia Dołącz do międzynarodowego projektu realizowanego dla dużej organizacji działającej w środowisku data-driven. Projekt dotyczy budowy nowoczesnej platformy danych w Microsoft Azure, opartej głównie o Azure Databricks oraz komponenty Microsoft Fabric. Będziesz częścią core delivery team odpowiedzialnego za rozwój platformy end-to-end, wspierającej zaawansowaną analitykę oraz use case’y AI/GenAI. Projekt obejmuje projektowanie, budowę i rozwój platformy danych gotowej pod rozwiązania AI, z naciskiem na skalowalność, bezpieczeństwo oraz engineering excellence. Twoje codzienne zadania: Projektowanie i rozwój platformy danych w Azure Rozwijanie oraz utrzymanie środowiska opartego o Azure Databricks Tworzenie i utrzymanie infrastruktury jako kodu (IaC) Budowa i rozwój pipeline’ów CI/CD Wdrażanie rozwiązań związanych z bezpieczeństwem, monitoringiem oraz automatyzacją Integracja danych z różnych źródeł cloudowych i on-prem Współpraca z zespołami Data, Cloud oraz AI Wsparcie rozwoju platformy pod use case’y AI/GenAI Stack: Microsoft Azure Azure Databricks Terraform CI/CD Microsoft Fabric Data Lakes / Data Warehouses ETL / ELT Cloud Networking & Security Must have: Minimum kilkuletnie doświadczenie jako Platform Engineer / DevOps Engineer Bardzo dobra znajomość Microsoft Azure Doświadczenie w budowie platform danych i środowisk analitycznych Bardzo dobra znajomość Azure Databricks Doświadczenie z Terraform / Infrastructure as Code Znajomość CI/CD oraz automatyzacji Dobra znajomość zagadnień Data Engineering Samodzielność oraz ownership techniczny Doświadczenie z integracją danych z różnych źródeł ( m.in . S3, SharePoint, Google Drive, Dataverse) Nice to have (: Microsoft Fabric Monitoring & Logging Microsoft Purview FinOps / optymalizacja kosztów w Azure Doświadczenie w środowiskach enterprise-scale Doświadczenie przy rozwiązaniach AI/GenAI

🏢 Summary: Fully remote DevOps role focused on streamlining development and operations through automation, CI/CD pipelines, and infrastructure as code. The position involves improving system reliability, managing containerized environments, and optimizing application and infrastructure performance. You will collaborate with development teams to implement DevOps best practices and scalable deployment solutions. 🗂️ Requirements: Experience with continuous integration and continuous delivery, Strong knowledge of containerization technologies, Experience with Infrastructure as Code (IaC), Experience with automation of processes, Experience with GitHub and GitHub Actions, Ability to monitor and troubleshoot infrastructure and applications 📃 Skills: CI/CD, Docker, Kubernetes, IaC, Automation, GitHub, GitHubActions, Grafana, Dynatrace 🏢 Description: Location: fully remote Tasks: Collaborate with cross-functional teams to streamline development and operations processes. Implement and manage continuous integration and delivery pipelines for efficient software delivery. Enhance system reliability through automation of repetitive tasks and proactive identification of potential issues. Work closely with development teams to integrate DevOps best practices into the software development lifecycle. Monitor, troubleshoot, and optimize infrastructure and application performance. Implement and manage containerization and orchestration tools for scalable and efficient deployment. Collaborate on the design and implementation of infrastructure as code (IaC) solutions. Skills: Knowledge of continuous delivery and deployment. Strong background in containerization technologies. Experience with infrastructure as code (IaC) and automation. Ability to collaborate effectively in cross-functional teams. Experience in GitHub and GitHub Actions. Ideally Grafana, Dynatrace.

🏢 Summary: Short-term contract to design and implement automated test frameworks for a cloud-native, AI-powered sales support platform. The role focuses on C# test automation across backend and frontend applications, including API, integration, regression, and end-to-end testing in Azure. You will enhance CI/CD pipelines and ensure quality of AI-driven solutions integrated with CRM and data warehouse systems. 🗂️ Requirements: Strong commercial experience in C# test automation, Experience testing .NET applications, Experience with UI test automation, Experience with API test automation, Knowledge of test automation frameworks, Experience with CICD pipelines, Experience working in Microsoft Azure cloud, Understanding of SDLC and testing best practices, Ability to design API, integration, regression and E2E test scenarios 📃 Skills: C#, .NET, Angular, Azure, AzureOpenAI, AzureAISearch, API, CICD, Playwright, CRM, DWH, E2E, AI 🏢 Description: Project description: We are building an intelligent platform supporting our customers' sales teams through access to data, product knowledge, and AI-driven recommendations. Project starts on 1.07.2026 and ends on 31.08.2026 (with possibility to extend). Main responsibilities: Design, develop, and maintain automated test frameworks in C# Build and execute automated tests for backend and frontend applications Create API, integration, regression, and end-to-end test scenarios Support quality assurance processes across cloud-based solutions hosted in Azure Collaborate closely with developers, analysts, and business stakeholders Implement AI-assisted testing approaches and quality engineering practices Participate in CI/CD pipeline improvements and test automation strategy Validate integrations with CRM systems and data warehouse platforms Ensure high quality, reliability, and performance of AI-powered solutions Tech stack: Programming Language: C# Frontend: Angular Backend: .NET Cloud: Microsoft Azure AI Services: Azure OpenAI, Azure AI Search Testing: Automated testing in C#, AI-assisted testing Architecture: Cloud-native, integrations with CRM and DWH systems Requirements: Strong commercial experience in test automation using C# Experience testing .NET-based applications Experience with UI and API test automation Familiarity with test automation frameworks and CI/CD processes Experience working in cloud environments, preferably Microsoft Azure Understanding of software testing best practices and SDLC Ability to analyze requirements and prepare test scenarios Strong communication and collaboration skills Ability to work in a Polish-speaking environment Nice to have: Playwright

🏢 Summary: Full-stack freelance role focused on building scalable, cloud-native applications using .NET and Angular within the Azure ecosystem. The position involves translating complex business requirements into high-quality software solutions while applying modern architectural patterns and Agile delivery practices. The contract is project-based B2B for an initial 12-month period. 🗂️ Requirements: 4+ years experience with .NET technologies (C#, .NET Core, EF/ORM, WCF), 3+ years experience with Angular or strong React background with recent Angular experience, 2+ years hands-on experience with Azure services (Functions, Logic Apps, Web Apps), Advanced knowledge of architectural and design patterns, Experience with SOAP and REST web services, Experience with SQL and SQL Server, Experience with Git and CI/CD pipelines, Experience with Unit Testing, Fluent English 📃 Skills: .NET, .NETCore, C#, EntityFramework, ORM, WCF, Angular, React, Azure, Functions, LogicApps, WebApps, SQL, SQLServer, Git, CI/CD, SOAP, REST, Agile, UnitTesting 🏢 Description: Join an international team of experts delivering high-impact software solutions for global clients. In this role, you will work in a full-stack capacity, translating complex business requirements into scalable, cloud-native applications. You will collaborate with top-tier professionals to design and implement innovative solutions that address real-world engineering challenges while ensuring the highest industry standards. Form of cooperation: freelance project-specific B2B contract for an initial period of approximately 12 months. Tech stack: Backend: .NET / .NET Core, C#, Entity Framework (or other ORM), WCF, SOAP/REST APIs. Frontend: Angular (primary), React. Cloud: Azure (Functions, Logic Apps, Web Apps, SQL Server). Data: SQL Server. DevOps/Tools: Git, CI/CD, Agile, Unit Testing. Requirements: 4+ years of professional experience with .NET technologies (C#, .NET Core, EF/ORM, WCF) 3+ years of experience in Angular (or strong React background with recent Angular experience) 2+ years of hands-on experience with Azure services (e.g., Functions, Logic Apps, Web Apps) Advanced knowledge of Architectural and Design Patterns Proficiency in Web Services (SOAP/REST) and SQL Experience with Git, Continuous Integration, and Continuous Delivery pipelines Fluent English (written and spoken) for effective international communication Ideally, you’ll also have: Azure Cloud certifications Main responsibilities: Full-Stack Development: Address complex software engineering problems using both object-oriented and functional programming styles. Quality Assurance: Maintain high standards of code quality and testing through Clean Code and Unit Testing practices. Cloud Engineering: Design and develop scalable solutions utilizing a wide range of Azure-hosted services and tools. Agile Delivery: Implement Agile methodologies and modern software delivery techniques, including CI/CD and automated deployment. Professional Growth: Proactively adopt new technologies and frameworks within the Azure Cloud ecosystem to drive project success.

🏢 Summary: The offer is for a senior DevOps/Cloud Engineer to lead and support enterprise cloud migration initiatives in Azure, focusing on CI/CD automation, infrastructure as code, and secure, scalable cloud environments. The role involves managing Azure-based platforms, optimizing performance and security, and collaborating with cross-functional teams to modernize and support business-critical systems. It also includes working with hybrid cloud environments and leveraging AI-powered tools to enhance software delivery processes. 🗂️ Requirements: 5+ years in DevOps, Cloud Engineering, or Platform Engineering, Strong hands-on experience with Microsoft Azure in production environments, Experience building and maintaining Azure DevOps CI/CD pipelines (YAML), Hands-on experience with Azure App Services, WebJobs, and Azure Functions, Knowledge of Azure API Management, Application Gateway, and WAF, Experience with Terraform and Infrastructure as Code practices, Understanding of .NET application hosting environments (.NET 4.8–.NET 8+), Experience with hybrid or multi-cloud environments (Azure and AWS), Experience with secrets management and identity solutions, Experience in enterprise migration or modernization programs, English proficiency minimum B2, Work permit and residence in the European Union 📃 Skills: Azure, AzureDevOps, CI/CD, YAML, Terraform, .NET, APIM, WAF, AppServices, WebJobs, AzureFunctions, ApplicationGateway, KeyVault, ManagedIdentity, AWS, IaC 🏢 Description: 🟣 You will be: supporting and driving cloud migration initiatives across business-critical systems, designing, building, and maintaining CI/CD pipelines in Azure DevOps, managing and optimizing Azure-based infrastructure and application environments, automating infrastructure provisioning and configuration using Infrastructure as Code practices, collaborating with development and architecture teams to ensure reliable and scalable deployments, improving platform security, performance, and operational efficiency, supporting application services and cloud-native solutions throughout the software delivery lifecycle. 🟣 Your profile: 5+ years of experience in DevOps, Cloud Engineering, or Platform Engineering roles, strong hands-on experience with Microsoft Azure, including production-grade environments, proven experience building and maintaining Azure DevOps CI/CD pipelines (YAML-based), hands-on experience with Azure App Services, WebJobs, and Azure Functions, strong knowledge of Azure API Management (APIM), Application Gateway, and WAF, experience with Terraform (azurerm provider) and Infrastructure as Code practices, understanding of .NET-based application hosting environments (.NET 4.8–.NET 8+), experience working with hybrid or multi-cloud environments (Azure + AWS), familiarity with secrets management and identity solutions (Key Vault, Managed Identity), experience working in enterprise migration or modernisation programmes, strong analytical, troubleshooting, and problem-solving skills, good communication skills and ability to work in cross-functional teams, good command of English (min. B2), practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. 🟣 Nice to have: experience with AWS migration programmes (e.g. MAP or similar initiatives), familiarity with React, Node.js, or EventStoreDB in hybrid architectures, exposure to FinOps practices and cloud cost optimisation initiatives, experience integrating AI tools into engineering workflows (CI/CD, IaC, automation), experience with enterprise-scale policy governance (Azure Policy, guardrails), experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work, interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. Work from the European Union region and a work permit are required 🟣 Recruitment Process: CV review – HR Interview – Technical Interview - Client Interview – Decision 🎁 Benefits 🎁 ✍ Development: development budgets of up to 6,800 PLN, we fund certifications e.g.: AWS, Azure, access to Udemy, O'Reilly (formerly Safari Books Online) and more, events and technology conferences, technology Guilds, internal training, Xebia Upskill. 🩺 We take care of your health: private medical healthcare, multiSport card - we subsidise a MultiSport card, mental Health Support. 🤸‍♂️ We are flexible: B2B or employment contract, contract for an indefinite period.

🏢 Summary: Long-term B2B contract for a senior Azure Engineer to design, develop, secure, and operate Azure platform components in a regulated insurance environment. The role focuses on Infrastructure as Code, Azure DevOps automation, and secure cloud service deployment across the full SDLC. Work is fully remote with a rate up to 165 PLN/h net + VAT. 🗂️ Requirements: 7+ years experience in similar role, Proficiency in Infrastructure as Code and automation, Advanced PowerShell scripting, Advanced Terraform scripting, Experience with Azure DevOps pipelines, Experience with YAML and reusable templates, Knowledge of Git-based workflows, Experience with Azure services deployment and configuration, Strong networking knowledge, Strong identity and security practices knowledge, Experience with Microsoft Entra ID, Experience in regulated environments 📃 Skills: Azure, AzureDevOps, Terraform, PowerShell, YAML, Git, Databricks, DataLake, EntraID, Networking, Security, AzureMonitor, ApplicationInsights, Copilot 🏢 Description: Industry: IT/insurance Location: remote Rate: up to 165 pln/h net + VAT, B2B Long-term cooperation Main Responsibilities: Core duties involve the design, development, testing, and operation of Azure platform components in regulated settings. Design, develop, test, secure, and operate Azure platform components across the full SDLC. Build and maintain Azure DevOps pipelines for repeatable, auditable deployments. Develop Infrastructure as Code for provisioning and configuring Azure services. Implement security-by-design practices and compliance sign-offs. Troubleshoot and resolve issues in pipelines and service configurations. Enhance Managed BDAP Services and their underlying components. Key Requirements: 7 years of experience in a similar role. Proficient in Infrastructure as Code and Automation methodologies. Advanced PowerShell and Terraform scripting skills. Experience with Azure DevOps pipelines, including YAML and reusable templates. Knowledge of Git-based workflows and version management. Expertise in AI-assisted coding using GitHub Copilot. Proficient with deploying and configuring Azure services such as Azure Databricks, Data Lake Storage, and others. Highly skilled in networking, identity, and security practices. Experience with Microsoft Entra ID and secure configuration baselines. Nice to Have: Familiarity with observability tools such as Azure Monitor and Application Insights.

🏢 Summary: The role focuses on designing, implementing, and operating Microsoft Azure cloud infrastructure with strong DevOps and SRE practices to ensure high availability, automation, and observability of business-critical systems. It involves building CI/CD pipelines, managing monitoring with Datadog, and leading incident management and reliability initiatives. The position requires hands-on cloud engineering, automation, and system administration within a modern, AI-augmented DevOps environment. 🗂️ Requirements: 5+ years experience in DevOps, SRE, or cloud engineering, Hands-on experience with Microsoft Azure services (App Services, VM, Container Instances, AKS, SQL Server, Azure SQL), Experience with Git and Github Actions for CI/CD, Experience with Terraform and Docker, Strong knowledge of Datadog and SRE practices (SLOs, SLIs, golden signals), Experience in incident management and root cause analysis, Proficiency in Shell scripting and Python, Experience with YAML and JSON configuration, Administration of Ubuntu, RHEL, CentOS, and Windows Server, Experience with Jira and Confluence, Familiarity with ITSM or ITIL frameworks, Bachelor’s degree in Computer Science, Engineering, or related field or equivalent experience 📃 Skills: Azure, AKS, SQL, Git, GitHub, GitHubActions, SonarQube, Terraform, Docker, Datadog, Shell, Python, YAML, JSON, Ubuntu, RHEL, CentOS, WindowsServer, Jira, Confluence, ITIL 🏢 Description: #4936 Our client is a leader in sustainable packaging solutions, leveraging cutting-edge cloud technologies to enhance production, operational excellence, and innovation. Join our team and contribute to eco-friendly advances with state-of-the-art technology and DevOps practices. Working hours 11:00 - 19:00 CET Responsibilities Cloud Infrastructure: Architect, implement, and manage Microsoft Azure resources including App Services, Virtual Machines, Container Instances, AKS, SQL Server/Instance, and Azure SQL. DevOps Automation: Design and maintain CI/CD workflows using Git, Github Actions, SonarQube Cloud, Terraform, and Docker. SRE Practices: Develop and monitor SLOs, SLIs, and golden signals; instrument applications and infrastructure; build Datadog dashboards for real-time business and incident reporting. Incident Management: Lead incident response, root cause analysis, and post-mortem documentation. Maintain high availability and rapid recovery for business-critical systems. Monitoring & Observability: Extensive use of Datadog for monitoring, logging, and performance analytics. Configuration Management: Work with Shell, YAML, JSON, and Python for scripting, automation, and configuration. System Administration: Administer Ubuntu, RHEL, CentOS, and (entry-level) Windows Server environments. Collaboration: Utilize Atlassian Suite (Jira, Confluence) for documentation, ticketing, and project tracking; contribute to ITSM/ITIL frameworks. AI & Productivity Tools: Integrate and leverage tools like Claude, Github CoPilot, and other AI productivity solutions. Reporting: Create dashboards and business reports to provide actionable insights and drive continuous improvement. Must-Have Qualifications Technical Skills: Microsoft Azure (App Services, VM, Container Instances, AKS, SQL Server, Azure SQL). Git, Github, Github Actions. SonarQube Cloud, Terraform, Docker. Datadog (extensive), SRE concepts (SLOs, SLIs, golden signals, instrumentation). Incident management, dashboard development, business reporting. Shell scripting, YAML/JSON configs, Python. Ubuntu, RHEL, CentOS, Windows/Server (entry). Process & Frameworks: Atlassian Suite (Jira/Confluence). ITSM / ITIL familiarity. AI tools (Claude, Github CoPilot, etc.). Nice-to-Have Qualifications Microsoft Azure: App Insights, IoT Hub, Azure DevOps, API Management. DevOps: Ansible, Argo CD, CodeRabbit, Artifactory. SRE Practices: Capacity planning, cost optimization. Programming Languages: JavaScript, PowerShell. Other Tools: Snowflake, PagerDuty, Salesforce MuleSoft Anypoint. Education & Experience Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). 5+ years demonstrated experience in DevOps, SRE, or cloud engineering roles. Analytical thinker, problem solver, and proactive communicator. Strong collaboration skills, especially across cross-functional and remote teams. Ability to thrive in a fast-paced, innovative business environment.

🏢 Summary: Senior-level role focused on designing and delivering scalable AI/ML solutions, including LLMs, RAG, and agent-based systems, from architecture to production deployment. The position involves leading technical decisions, writing high-quality Python code, and building cloud-based microservices solutions. The role also requires translating business needs into robust, production-ready AI systems. 🗂️ Requirements: Several years of software development experience (senior-level), Strong Python proficiency, Solid understanding of ML/AI ecosystem (LLMs, NLP, deep learning), Hands-on experience with RAG, prompt engineering, agent-based systems, Experience with microservices architecture, Experience with databases, Experience with Kubernetes, Experience with CI/CD pipelines, Experience with Azure cloud, English proficiency 📃 Skills: Python, LLMs, RAG, NLP, DeepLearning, PromptEngineering, Microservices, Databases, Kubernetes, CICD, Azure, GCP, Java 🏢 Description: Responsibilities: Design and develop scalable AI/ML solutions (LLMs, RAG, agentic systems) Write high-quality, testable Python code Lead technical architecture and make key design decisions for critical projects Own end-to-end delivery of solutions, from design to production deployment Collaborate with business stakeholders and translate requirements into technical solutions Requirements: Several years of experience as a software developer (senior-level preferred) Very strong Python skills and solid understanding of the ML/AI ecosystem (LLMs, NLP, deep learning) Hands-on experience with RAG, prompt engineering, and agent-based systems Experience with microservices architecture, databases, Kubernetes, and CI/CD pipelines Experience with Azure cloud (GCP as a plus) Basic familiarity with Java is a plus Strong English communication skills

🏢 Summary: Backend engineering role focused on designing, building, and operating scalable, event-driven services on Microsoft Azure. The position covers full ownership of backend systems, including architecture, infrastructure as code, container orchestration, CI/CD automation, and data management. It emphasizes microservices, distributed systems, and cloud-native DevOps practices. 🗂️ Requirements: Extensive experience in backend development with C# and .NET, Strong practical knowledge of Microsoft Azure core services, Hands-on experience with AKS and APIM, Experience with distributed messaging systems (Azure Service Bus or Kafka), Proven experience with microservices and distributed systems, Experience with relational and NoSQL databases, Hands-on experience with CI/CD automation tools, Practical experience with Terraform and Infrastructure as Code 📃 Skills: C#, .NET, Azure, AKS, APIM, Kafka, ServiceBus, Terraform, Kubernetes, CI/CD, SQL, CosmosDB, Microservices, AppInsights, LogAnalytics 🏢 Description: Key Responsibilities: End-to-End Product Engineering: Own the entire lifecycle of backend services and APIs—from initial architecture design and coding to comprehensive testing and production deployment. Event-Driven Ecosystems: Architect and maintain highly scalable, asynchronous solutions on Microsoft Azure , utilizing Azure Service Bus or Kafka for robust messaging. Infrastructure as Code (IaC): Orchestrate and manage cloud environments using Terraform , ensuring all infrastructure aligns with enterprise security and performance benchmarks. Container Orchestration: Deploy and fine-tune containerized workloads within Azure Kubernetes Service (AKS) environments. DevOps Ownership: Drive the automation of build, test, and release cycles, taking full accountability for the CI/CD pipelines of your assigned services. Data Persistence & Management: Design efficient data storage strategies (SQL, Cosmos DB, Storage) and expose secure, high-performance interfaces through Azure API Management (APIM) . Strategic Collaboration: Partner with architects and platform teams to monitor system health via App Insights/Log Analytics, ensuring continuous reliability and optimization. Required Skills & Experience: Technical Mastery: Extensive professional experience in backend development using C# and the .NET ecosystem . Cloud Expertise: Deep practical knowledge of Microsoft Azure core services, specifically AKS, APIM, and distributed messaging platforms. Architectural Literacy: Proven ability to work with Microservices and distributed systems, including sophisticated data modeling in both relational and NoSQL databases. DevOps Mindset: Hands-on proficiency with CI/CD automation tools and a strong commitment to Infrastructure as Code (Terraform) . Agile Adaptability: Experience thriving in fast-paced, iterative delivery teams with a focus on solving complex technical challenges. Impactful Communication: Ability to articulate technical concepts clearly to both technical and non-technical stakeholders while adhering to best practices in documentation.

🏢 Summary: Rola dotyczy projektowania i rozwoju skalowalnych rozwiązań backendowych w oparciu o Microsoft Azure, stanowiących fundament dla enterprise’owej platformy AI (MCP Graph Broker). Obejmuje budowę API, integracji i komponentów wspierających orkiestrację AI oraz wdrożenia produkcyjne dla systemów o dużej skali. Praca koncentruje się na architekturze chmurowej, mikroserwisach i integracji z narzędziami AI/ML w środowisku enterprise. 🗂️ Requirements: Minimum 5 lat doświadczenia w budowie skalowalnych aplikacji webowych lub systemów enterprise, Bardzo dobra znajomość .NET Framework, ASP.NET MVC, Web API 2, MS SQL, Entity Framework, Doświadczenie z REST oraz OData, Znajomość usług Microsoft Azure i praktyk cloud computing, Znajomość architektury mikroserwisowej i zarządzania API, Doświadczenie z .NET / C# oraz wzorcami Clean Architecture, DDD, CQRS, Event Sourcing, Doświadczenie w projektowaniu i implementacji REST API oraz GraphQL, Znajomość baz wektorowych i wyszukiwania semantycznego (RAG), Doświadczenie z ML/AI API w środowiskach produkcyjnych, Doświadczenie w projektowaniu systemów wysokodostępnych i odpornych na duże wolumeny danych, Znajomość Cloud Design Patterns, Doświadczenie w budowie aplikacji Enterprise SaaS, Wykształcenie wyższe techniczne 📃 Skills: .NET, C#, ASP.NET, WebAPI, MS SQL, EntityFramework, REST, OData, Azure, AppServices, Functions, CosmosDB, AzureSQL, ServiceBus, AzureSearch, GraphQL, Microservices, DDD, CQRS, EventSourcing, CleanArchitecture, SaaS, RAG, MCP, AI, ML, DevOps, Agile 🏢 Description: Tworzymy cyfrowe produkty dla nowoczesnego środowiska pracy oparte na chmurze, AI i technologiach, które realnie wspierają pracowników na całym świecie. Chcesz pracować nad rozwiązaniami, w których backend, API i integracje realnie napędzają systemy AI klasy enterprise? Dołącz do nas i zobacz, co budujemy. Jako część naszego zespołu będziesz : wykorzystywać swoją wiedzę z zakresu cloud computingu, integracji systemów i rozwoju oprogramowania, projektować i rozwijać rozwiązania backendowe oparte na Microsoft Azure, które będą technologicznym fundamentem dla MCP Graph Broker — jednego z pierwszych tego typu rozwiązań AI dla środowisk enterprise w Polsce, współtworzyć skalowalne API, integracje i komponenty aplikacyjne wspierające warstwę orkiestracji AI, zarządzanie kontekstem oraz komunikację między systemami, przygotowywać rozwiązania gotowe do wdrożeń produkcyjnych — od kontrolowanych środowisk testowych po systemy obsługujące ponad 500 000 użytkowników dziennie w sektorze finansowym, handlowym i publicznym. Aplikuj, jeśli masz : minimum 5 lat komercyjnego doświadczenia w budowie skalowalnych aplikacji webowych, usług backendowych lub systemów klasy enterprise, bardzo dobrą znajomość .NET Framework, ASP.NET MVC, Web API 2, MS SQL, Entity Framework, REST oraz OData, znajomość usług Azure i dobrych praktyk pracy z chmurą, np. Azure App Services, Azure Functions, Cosmos DB, Azure Search, Azure Service Bus czy Azure SQL, dobrą znajomość architektury mikroserwisowej, zarządzania API oraz usług chmurowych wykorzystywanych w systemach enterprise, znajomość metodyk Agile, praktyk DevOps oraz nowoczesnych narzędzi wykorzystywanych w procesie tworzenia oprogramowania, znajomość i umiejętność stosowania Cloud Design Patterns, doświadczenie w budowie aplikacji klasy Enterprise SaaS , wiedzę i doświadczenie w pracy z .NET / C# oraz wzorcami projektowymi, takimi jak Clean Architecture, DDD, CQRS czy Event Sourcing, doświadczenie w projektowaniu i implementacji REST API oraz GraphQL, szczególnie w kontekście API klasy enterprise, znajomość baz wektorowych oraz technik wyszukiwania semantycznego, np. Azure AI Search, w systemach RAG / Retrieval-Augmented Generation, znajomość protokołu MCP / Model Context Protocol lub podobnych protokołów kontekstowych oraz praktyczne doświadczenie z narzędziami ML / AI API w środowiskach produkcyjnych, doświadczenie we wdrażaniu rozwiązań typu AI API Layer , doświadczenie w projektowaniu rozwiązań odpornych na duże wolumeny danych i zapewniających wysoką dostępność, doświadczenie w budowie frameworków lub platform aplikacyjnych, umiejętność analitycznego myślenia, rozwiązywania problemów, prowadzenia inicjatyw technicznych oraz jasnej komunikacji, zainteresowanie nowymi technologiami i śledzenie najnowszych trendów w obszarze chmury, AI i systemów agentowych, znajomość języka polskiego na poziomie C1+ oraz języka angielskiego na poziomie B2+, możliwość pracy w modelu hybrydowym z Białegostoku lub okolic — minimum 3 dni w tygodniu z biura i maksymalnie 2 dni pracy zdalnej), wykształcenie wyższe techniczne, najlepiej informatyczne lub pokrewne. Mile widziane : znajomość wzorców orkiestracji agentów AI, takich jak routing, zarządzanie pamięcią, wykorzystanie narzędzi czy human-in-the-loop, doświadczenie z architekturą multi-tenant, obejmującą separację kontekstu, izolację danych i polityki dostępu w środowiskach SaaS, praktyczna znajomość modeli konwersacyjnych i dialogowych, w tym fine-tuningu, RLHF oraz prompt engineeringu dla LLM, szczególnie w kontekście asystentów AI. Oferujemy: wynagrodzenie 20 000–22 000 PLN brutto miesięcznie na umowie o pracę oraz 18-miesięczną umowę z możliwością przedłużenia, pracę przy rozwoju rozproszonego systemu chmurowego klasy enterprise, w którym AI jest częścią architektury, a nie tylko dodatkową funkcją, realny wpływ na architekturę platformy używanej przez setki tysięcy pracowników, możliwość pracy z nowoczesnymi rozwiązaniami Azure, najnowszymi modelami LLM oraz narzędziami MLOps, przestrzeń do wielokierunkowego rozwoju zawodowego, certyfikacji i wymiany wiedzy, elastyczny model pracy hybrydowej, pakiet benefitów obejmujący prywatną opiekę medyczną i kartę Multisport.